Amira Shahirah
Papers
2
Total Citations
7
H-Index
2
About
Amira Shahirah is a robotics researcher whose work focuses on autonomous navigation and collision avoidance for mobile robots, particularly in unstructured outdoor environments. Her primary research areas include reactive path planning, sensor integration, and cost-effective unmanned ground vehicle (UGV) design. Shahirah’s major contribution is the development of the Modified Virtual Semi-Circle (MVSC) approach, a novel reactive collision avoidance method that enables real-time, optimal path planning for mobile robots using ultrasonic range finder sensors. This work, detailed in her most-cited paper (2014, 4 citations), demonstrates how to navigate a low-cost UGV, the MG-TruckS, safely through dynamic outdoor settings without relying on expensive sensors. Her follow-up study (2014, 3 citations) further validates the MVSC method’s effectiveness in real-time scenarios, highlighting its potential for practical deployment in agriculture, logistics, or search-and-rescue missions. While her citation counts are modest, Shahirah’s research addresses a critical gap in affordable, reactive navigation systems, offering a scalable solution for autonomous ground vehicles. Her work stands out for its emphasis on simplicity and cost-efficiency, making advanced robotics more accessible for developing-world applications and small-scale industries.
Research Focus
Key Achievements
Top Papers
- 1
- 2